Praha (22 200 Kč)
Brno (22 200 Kč)
Bratislava (900 €)
Is it up to you to prepare data for reporting? Do you already know how to connect data sources to Power BI? Are you looking for ways to do it quickly and effectively? Do you want to follow the standards and best practices, so you are sure the data is ready to be used by anyone in your organization? If so, we have prepared a unique Master Class training guaranteed by Štěpán Rešl (Microsoft Power BI MVP) on data analysis in Power BI with a focus on Power Query transformations. After finishing, you will be able to extract data from any source, including e-shops and public registers. You will be able to rapidly reduce the size of pbix files, dramatically speed up the data transformations or resolve any error message you come across. You will know how to set up data gateways, prepare and optimize data models so that users see only the content relevant to them. Calculated columns will become obsolete.
Power BI Desktop (effective work in Power Query, saving time and
money)
• Correct settings and limits
Power
Query (magical low-code ETL language for the fastest data
transformations)
• Advanced transformations in Power
Query
• Naming convention
• Data types in Power
BI
• Dynamic column names adjustment
• Correct steps order in
Power Query
• Data cleaning process
• M language - predefined
and custom functions
• Functions
List.Contents/Transform/Accumulate/Range/Web.Contents
• Query
Folding
• Records vs Let Expression
• Power Query
documentation
DAX & Calculations (still using date
functions without a custom DateKey?)
• Custom DateTable
creation (in Power Query)
Power BI Service (How to properly set
up and optimize data sources in Power BI Service.)
• Power BI
Service Artifacts
• Artifact naming convention in Power BI Service
(Datasets, DataFlows)
• Artifact settings
• Roles in Power BI
workspace
• Lineage view
• Scheduling updates
• Query
Caching
Data Gateway (Data stored on-premise? Never a problem
again)
• Gateway types
• Gateway
settings
• Their limits
• Data sources (We will show you how
to connect anywhere)
Data sources and connection types
• Data sources preparation for RLS
• On-premises
data sources
• Cloud data sources
• Parsing data from public
websites and registers
• Correct connection to SharePoint data
(sheets, metadata, files, libraries)
Relationships and data models
• Relationships
theory
• Working with M:N relationships in Power BI
• Cross
relationships
Administration (Does anyone even use the
data?)
• Metrics usage
• Certification and content
promotion
External tools (Optimizing models in Power BI?
External tools save hours of your
time)
• Diagrams
• Tabular Editor
• DAX
studio
• Power BI Cleaner/Helper
The prices are without VAT.